Wells Fargo

Financial Services

PrincipalEngineer

$250–400k ~AI est. Charlotte, North Carolina, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Engineer at Wells Fargo. Skills: Agentic AI, Microsoft 365 Copilot, Copilot Studio, Copilot Cowork. Provide technical leadership for AI capabilities. Define architecture and engineering standards”

Industry & Context.

Financial Services
Problems you'll solve

Resolve challenges; Resolve roadblocks; Problem solving

What They're Looking For.

Must Have

7+ years Engineering experience

Nice to Have

Generative AI production experience, Agentic AI production experience, Microsoft 365 Copilot extensibility expertise, Copilot Studio experience, Copilot Cowork experience, AI capabilities across OS platforms, Grounding agents over enterprise data, API and microservices design, Containerization experience, CI/CD experience, DevSecOps experience, Automated testing experience, Responsible AI principles application, Senior technical leader experience, AI capabilities in regulated environment

What You'll Do.

Provide technical leadership for AI capabilities

Define architecture and engineering standards

Design and build end-to-end agentic solutions

Lead delivery of agents and automations

Establish reusable patterns

Define how agents are extended

cross-application workflows

Drive complex technical initiatives

Resolve ambiguous architecture challenges

Set and enforce engineering best practices

Embed responsible AI into engineering

Partner with architects and leadership

Shape next generation domain architecture

Conduct deep technical design reviews

Contribute hands-on in codebase

Serve as technical representative

Influence technology requirements and priorities

Identify and drive resolution of roadblocks

Mentor and grow senior engineers

Raise team's depth in extensibility

Interact with technology partners

Advance Copilot platform capabilities

Interpret and develop AI capabilities

Set engineering standards and patterns

Enable teams to build agents

Drive resolution of technical problems

Remain hands-on in codebase

Embed responsible AI into foundation

Influence architecture and roadmap

Partner with leadership on direction

Elevate technical depth of organization

How You'll Work.

Team & Collaboration

Cross-team planning; Collaborative efforts; Partner with architects; Partner with leadership; Interact with partners

Communication Scope

Technical reviews; Peer reviews; Presentations

Process & Methodology

Roadmap planning

Full Job Description

**About this role:** Wells Fargo is seeking a Principal Engineer to provide deep technical leadership for AI capabilities across Microsoft 365 and OS platforms, with a focus on the design and delivery of agentic AI solutions and workflows built on Microsoft 365 Copilot, Copilot Studio, and Copilot Cowork. As the most senior individual contributor on the team, you will define how agents, skills, and plug-ins are built, secured, and scaled across the enterprise — turning the Copilot platform into intelligent, autonomous experiences for the workforce. ****In this role, you will:**** * Act as the principal technical authority for agentic AI across Microsoft 365 (Teams, Outlook, SharePoint, Graph, Copilot) and OS platforms (Windows, macOS, iOS, Android), defining architecture and engineering standards for agents, skills, plug-ins, and AI-driven workflows * Design and build end-to-end agentic solutions on the Microsoft 365 Copilot platform — declarative and custom agents, skills composition, plug-in/tool calling, grounding over enterprise data via Microsoft Graph, and multi-step autonomous workflows * Lead delivery of agents and automations in Copilot Studio and Copilot Cowork, establishing reusable patterns, skills libraries, and plug-in frameworks that other teams build on * Define how Copilot Cowork agents are extended with custom skills and plug-ins to automate complex, cross-application workplace workflows securely and reliably * Drive the most complex, highest-risk technical initiatives across teams, resolving ambiguous architecture and integration challenges spanning the Copilot platform, Microsoft Graph, and OS extensibility points * Set and enforce engineering best practices for agentic AI delivery — agent and skill evaluation, prompt and skill versioning, observability, latency and cost optimization, CI/CD, and automated testing for non-deterministic AI systems * Embed responsible AI into the engineering foundation: grounding, safety, guardrails, data privacy, m

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